JP6049681B2 - Thermal load calculation program and thermal load calculation device - Google Patents

Description

  The present invention relates to a program and a heat load calculation device for performing heat load calculation such as air conditioning heat load calculation, skin performance calculation and primary energy consumption calculation.

  Air conditioning heat load calculation, hull performance calculation and primary energy consumption calculation (hereinafter referred to as “heat load calculation”, “heat load calculation etc.” or “heat load calculation”), for example, walls, roofs, floors, etc. Calculate the heat transmissivity based on the structure of each part of the building (for example, material quality, stacking order, thickness, etc.) and multiply the heat transmissivity of each part by the area of the part to calculate the thermal load, etc. To do. In the conventional manual calculation methods, the configuration of each of these parts has been determined based on the contents shown in the detailed drawings and finish specification documents. Therefore, in the manual calculation, for example, the construction that occupies the main part of the part is treated as a representative without strictly applying the difference in the thickness of each material due to the additional hitting of concrete or the actual match. I was going.

  In recent years, architectural CAD (Computer Aided Design) systems that realize BIM (Building Information Modeling) are known. In this type of architectural CAD system, a three-dimensional digital model of a building can be created on a computer based on the three-dimensional design data of the building (hereinafter referred to as “3D CAD data”). In recent years, with the spread of BIM tools, computer-based automatic calculation has increased in the fields of air conditioning heat load calculation, skin performance calculation, and primary energy consumption calculation. In that case, the computer extracts information necessary for calculation, such as the material, thickness, stacking order, and area of each part constituting each part, from the 3D CAD data, and automatically performs the above-described processing based on the extracted information. Calculate the heat load.

  By computerization such as heat load calculation using 3D CAD data, it becomes possible to acquire information indicating the configuration contents of each part in detail and strictly, so that the distinction of the difference in the configuration contents of each part becomes detailed and strict. If each dimension is calculated strictly, reflecting the detailed and strict distinction of the contents of each part, the number of types of parts contained in one property to be calculated may become very large, and as a result The amount of calculation work increases and the content of the calculation result document also increases. In particular, an increase in calculation result documents leads to an increase in the amount of work on the calculation result check and calculation result data receiving side.

  In addition, as a prior art which performs processing related to heat load calculation by a computer using CAD data, for example, Patent Document 1 extracts basic data from 3D CAD data of a building, and based on the extracted data and calculation conditions, The calculation of the annual heat load coefficient is disclosed. Patent Document 2 discloses that information for use in determining a static energy characteristic is extracted from a CAD file, and a predicted energy usage amount is calculated based on the static energy characteristic. doing. Patent Document 3 discloses a method for creating thermal load calculation data in cooperation with an architectural CAD system, by manually copying the contents of data cell blocks for each thermal load element displayed in a sheet for each room. Is disclosed.

JP 2003-271784 A Special table 2014-523017 gazette JP 2014-75037 A

  The present invention has been made in view of the above points, and in performing calculation such as heat load such as air conditioning heat load calculation, skin performance calculation or primary energy consumption calculation by a computer using three-dimensional design data, calculation is performed. It is an object of the present invention to provide a thermal load calculation program and a thermal load calculation apparatus that can simplify the work and reduce the labor for checking and confirming calculation results.

  The present invention is a program executed by a computer to calculate a thermal load for each of a plurality of parts constituting a building, and the computer constructs a plurality of pieces constituting the building from the three-dimensional design data of the building. Obtaining at least part of one or a plurality of materials constituting the part of each of the parts, and obtaining the part configuration information specifying the order of lamination, and based on the obtained part configuration information, the at least material and the layer A step of generating common part configuration information for a plurality of parts in common order and a thermal load calculation for a plurality of parts in common in at least the material and the stacking order based on the common part configuration information A program characterized by causing a step to be executed.

  For each of a plurality of parts such as a wall, a roof, a floor, or a ceiling, for example, part configuration information that specifies at least the material and the stacking order of one or a plurality of materials constituting the part is acquired from the three-dimensional design data. Then, based on the acquired part configuration information, by generating common part configuration information for at least a plurality of parts having the same material and stacking order, a plurality of parts having the same or similar mutual configuration Can be integrated into one. Thereby, the site | part structure information used for a thermal load calculation can be reduced automatically. And since the thermal load calculation is performed by using one common calculation part configuration information for a plurality of parts having at least the same material and stacking order, a plurality of parts are used by using separate part configuration information for each of the plurality of parts. Compared to performing the calculation once, the heat load calculation work can be simplified.

  As an embodiment, in the step of generating the common site configuration information, a material corresponding to a predetermined excluded material may be further excluded from the site configuration information. By determining the excluded material in advance, for example, the material that does not affect the calculation of the heat load or the like can be automatically excluded from the aggregated part configuration information. As a result, the calculation can be further simplified, and the site configuration information of more sites can be consolidated into one, and the number of site configuration information can be further reduced.

  In one embodiment, the part configuration information further includes information for specifying the thickness of each material, and the step of generating the common part configuration information further includes a plurality of common at least materials and stacking orders. When the difference in the thickness of each material included in the part is within a predetermined thickness margin range, the common part configuration information may be generated. By providing a margin in a range that is regarded as the same thickness, it is possible to consolidate the part configuration information of a plurality of parts including materials whose material thicknesses are not the same. Therefore, the number of parts configuration information can be further reduced.

  In addition, the present invention is a thermal load calculation device for calculating a thermal load for each of a plurality of parts constituting a building, from the three-dimensional design data of the building, for each of a plurality of parts constituting the building, The acquisition means for acquiring at least the material and the stacking order of one or more materials constituting the layer of the site, and the at least the material and the stacking order in common based on the acquired site configuration information Generating means for generating common part configuration information for a plurality of parts, and calculating means for performing heat load calculation for a plurality of parts common to at least the material and the stacking order based on the common part configuration information It can comprise and implement as invention of the thermal load calculation apparatus characterized by providing.

  According to the present invention, when calculating a heat load such as an air conditioning heat load calculation, a skin performance calculation, or a primary energy consumption calculation by a computer using the three-dimensional design data, one part configuration information of a plurality of parts is obtained. This is an excellent effect of simplifying the calculation work and reducing the work of checking and confirming the calculation results by automatically reducing the part configuration information used for calculating the heat load and the like. Play.

The block diagram explaining the outline | summary of the operation | movement of the thermal load calculation which concerns on one Example of this invention. The figure explaining the structural example of the site | part structure information which concerns on one Example of this invention. The block diagram which shows the hardware constitutions of the computer which can execute the program for performing the heat load calculation operation | movement of FIG. The flowchart which shows an example of the pre-processing which registers the aggregation conditions applied to the aggregation process which concerns on one Example of this invention. The flowchart which shows an example of the aggregation process which concerns on one Example of this invention. The figure which shows the structural example of the common site | part structure information with respect to two site | parts shown in the said FIG. The flowchart which shows an example of the heat load calculation process regarding the two site | parts shown in the said FIG.

Embodiments of the present invention will be described below in detail with reference to the accompanying drawings. In this specification, calculation of heat load, such as air conditioning heat load calculation, hull performance calculation or primary energy consumption calculation, is referred to as “heat load calculation”, “heat load calculation, etc.” or “calculation of heat load, etc.” That's it.
FIG. 1 is a block diagram for explaining an outline of an example of an operation of heat load calculation according to an embodiment of the invention. This operation is executed by a processor (reference numeral 11 in FIG. 3 described later) of a computer (reference numeral 10 in FIG. 3 described later). The thermal load calculation operation shown in FIG. 1 is started in response to a user instruction. The processor performs an acquisition process 2 in response to a user instruction. In the acquisition process 2, the processor acquires, from the three-dimensional design data of the building (hereinafter referred to as “3D CAD data”), part configuration information that identifies the configuration of each part of the plurality of parts constituting the building. . The site | part which comprises a building is a wall, a roof, a floor, a ceiling etc., for example. The site configuration information includes information necessary for aggregation processing, heat load calculation, and the like described later, such as the material of one or more materials constituting the site, the order of stacking, the thickness, and the area of the site. The information indicating the material quality is indicated, for example, by its name (hereinafter referred to as “material name”). The content of the part configuration information may vary depending on the type of the corresponding part (for example, wall, roof, etc.), or even for the same type of part, the material name, thickness, and stacking order It may be different due to differences. In the 3D CAD data, since the drawing based on the data is a solid, the content indicated by the site configuration information may differ depending on the surface finish or the thickness adjustment of the material for making the surface flat. Therefore, there are a wide variety of types of part configuration information.

  FIG. 2 is a diagram illustrating a configuration example of the part configuration information. In FIG. 2, the site configuration information 20 and 22 of the sites A and B includes numbers, material names, and thicknesses indicating the stacking order of a plurality of materials constituting the sites. The number numbers corresponding to the material names (numbers “1”, “2”... In “No.” column in FIG. 2) indicate the stacking order. Specifically, the part configuration information 20 of the part A includes “finished tile having a thickness of 5 mm”, “lightweight concrete having a thickness of 150 mm”, “insulating material having a thickness of 100 mm”, and “exterior tile having a thickness of 10 mm”. The site configuration information of site B includes “finished decorative board with a thickness of 8 mm”, “lightweight concrete with a thickness of 160 mm”, “insulation material with a thickness of 100 mm” and “exterior tile with a thickness of 10 mm”. The laminated structure which consists of is shown. From the site configuration information 20 and 22, the site configuration information differs between site A and site B in that there is “finish tile” on one side and “finish makeup” on the other side, and the other materials and their order are one. You can see that the thickness of “lightweight concrete” is different.

  Returning to FIG. 1, after the acquisition process 2, the processor performs an aggregation process 4. In the aggregation process 4, the processor generates common part configuration information for a plurality of parts having at least the same material and stacking order based on the acquired part configuration information. The generated common part configuration information is a collection of the part configuration information of a plurality of parts having at least the same material and stacking order. Further, in the aggregation process 4, the aggregation process can be performed using the excluded material excluded from the common part configuration information and the margin range regarded as the same thickness as the aggregation condition with respect to the thickness of the material. . By aggregating a plurality of part configuration information into one common part configuration information by the aggregation process 4, the number of part configuration information to be a target of the thermal load calculation process 6 described later can be automatically reduced. After the aggregation process 4, the processor performs a heat load calculation process 6 for at least a plurality of parts having the same material and stacking order based on the common part configuration information. The thermal load calculation process 6 is a process for calculating a thermal load such as an air conditioning thermal load calculation, a skin performance calculation, and a primary energy consumption calculation. Calculation of heat load, etc. for multiple parts using one common part structure information for calculation. Compared to multiple calculations using separate part structure information for multiple parts. Work can be simplified.

  FIG. 3 is a block diagram schematically showing the hardware configuration of the computer 10 that can be installed and executed by the program for performing the heat load calculation operation of FIG. The computer 10 may have any known configuration, and includes, for example, a CPU (processor) 11 that can execute a software program, an internal memory 12 such as a ROM and a RAM, a hard disk 13, a CD / DVD driver 14, and the like. A program for performing operations such as heat load calculation according to an embodiment of the present invention is stored in the hard disk 13 and / or the internal memory 12 and is executed by a CPU (processor) 11. As is well known, an input device 16 including a display 15, a mouse and a keyboard is connected to the computer 10. The 3D CAD data is taken into the computer 10 via a portable medium such as a USB memory or via a communication network.

  The user can register a desired aggregation condition to be applied in the aggregation process 4 via, for example, the display 15 and the input device 16. FIG. 4 shows a flowchart of a pre-processing example in which two points of “exclusion material” and “thickness margin range” are registered as aggregation conditions. In response to the user's registration operation, the CPU 11 registers one or a plurality of excluded materials (step S1). As the excluded material, for example, a material having a small influence on the calculation of the thermal load or the like is registered. By registering the excluded material in advance, the material registered as the excluded material is automatically excluded from the calculation target. This makes it possible to further simplify the process for calculating the thermal load, etc., and to collect not only the parts with the same layered structure of materials but also the parts structure information of more parts including similar parts into one. As a result, the number of parts configuration information can be further reduced.

  In step S2, a margin range that is regarded as the same thickness is registered for the thickness of the material. For example, a thickness margin ratio is registered in step S2, and the margin range is determined based on the registered margin ratio. For example, the margin ranges from “thinnest thickness” to “thinnest thickness * (1 + allowance rate)” (where “*” is multiplied) among a plurality of the same materials. A material having a thickness that falls within the margin range is regarded as a material having the same thickness. One margin factor common to all materials may be registered, and in another example, the margin factor may be individually registered for each material. By providing a margin in the range regarded as the same thickness, not only a part having the same material thickness but also a part having a similar thickness can be collected into one common part configuration information. Therefore, it is possible to further reduce the number of parts configuration information.

  FIG. 5 is a flowchart for explaining a specific example of the aggregation process 4 of FIG. In step S10, the excluded material registered in step S1 is excluded from the part configuration information of each part. For example, when “finishing tile” and “finishing decorative board” are registered as excluded materials in the step S1, the “finishing tile” of the part A is obtained from the part configuration information 20 and 22 of the part A and part B shown in FIG. And “finished decorative board” of part B are excluded.

  In step S11, based on the part configuration information of each part, the CPU 11 groups the part configuration information of a plurality of parts having the same material name and stacking order of one or more materials constituting the laminated structure of the part into one group. . The part configuration information 20 and 22 of the parts A and B after excluding the excluded material in step S10 are grouped because the material names and the stacking order match as shown in FIG.

  In step S12, a plurality of groups grouped in step S11 are set as processing targets one by one. In step S13, the CPU 11 checks the thickness of each material in each part configuration information included in one group to be processed, and selects the thinnest thickness among the same materials in the group. In step S14, For each material, an “allowable maximum thickness” that is the upper limit of the “thickness margin range” is determined based on the selected thinnest thickness and the allowable rate registered in step S2. For example, as described above, the allowable maximum thickness can be represented by “thinnest thickness * (1 + allowability)”. For example, when the margin ratio is “10%”, the thinnest thickness of “lightweight concrete” in the part configuration information 20 and 22 of the parts A and B in FIG. 2 is “150 mm”. Is “150 * (1 + 0.1)” = “165 mm”. Similarly, the allowable maximum thickness of the “heat insulating material” in the portions A and B of FIG. 2 is “110 mm”, and the allowable maximum thickness of the “exterior tile” is “11 mm”. In addition, when the thicknesses of the same material are all the same, such as “insulation material” and “exterior tile” in the part configuration information of FIG. 2, the allowable maximum thickness may not be obtained.

  In step S15, a plurality of part configuration information included in one group to be processed is set as a processing target one by one. In step S16, the CPU 11 checks whether or not the thickness of each material in the part configuration information to be processed is within the “allowable maximum thickness” determined in step S14. When there is a material with a thickness exceeding the allowable maximum thickness (No in step S16), the part configuration information to be processed is excluded from the group and has a part configuration different from the group part configuration information. It is regarded (step S17). On the other hand, when all the materials are equal to or smaller than the “allowable maximum thickness” (Yes in step S16), it is considered that the part configuration information to be processed can be aggregated into common part configuration information together with other part configuration information in the group. (Step S18). For example, the thickness of “lightweight concrete” in the part configuration information 22 of the part B in FIG. 2 is “160 mm”, which is less than the “allowable maximum thickness” “165 mm” determined in step S14. Therefore, the part B can be collected into the part configuration information common to the part A.

  Then, steps S15 to S19 are repeated until the processing is completed for all the part configuration information included in one group (No in step S19). After processing all the part configuration information in one group (Yes in step S19), the CPU 11 generates common part configuration information for a plurality of parts considered to be aggregated in step S18 in step S20. That is, the site | part structure information of these some site | parts is collected into one common site | part structure information. The material name and the stacking order included in the common site configuration information are the same as each site configuration information considered to be aggregated. The “thinnest thickness” for each material selected in step S13 is applied to the thickness.

  For example, in step S20, common part configuration information 24 as shown in FIG. 6 is generated for the parts A and B shown in FIG. That is, the part configuration information 20 and 22 of the parts A and B is the common part configuration information 24 composed of “lightweight concrete with a thickness of 150 mm”, “insulation material with a thickness of 100 mm”, and “exterior tile with a thickness of 10 mm”. Aggregated. The excluded materials are “finished tile” and “finished decorative board”, the margin rate is 10%, and the “thinnest thickness” of lightweight concrete is “150 mm”. Since “thickness” and “exterior tile” have the same thickness in the part configuration information 20 and 22, the thicknesses included in the part configuration information 20 and 22 can be applied as they are.

  And the process of step S12-S20 is repeated until the process is complete | finished about all the groups grouped by the said step S11 (No of step S21). Thereby, one or several common site | part structure information can be produced | generated. The common part configuration information is assumed to be associated with a plurality of parts corresponding to the common part configuration information (that is, a plurality of parts collected in the common part configuration information). When all the groups have been processed (Yes in step S21), the CPU 11 ends the aggregation process of FIG. In one embodiment, the computer 10 may output one or a plurality of common part configuration information generated by the aggregation process of FIG. 5 to the display 15 or the like. On the display 15, for example, the contents of the aggregated part configuration information as shown in FIG. 6 are displayed. At this time, an appropriate name may be automatically given to the aggregated part configuration information. In addition, it was generated so that calculation such as thermal load calculation for each of a plurality of corresponding parts (that is, a plurality of parts aggregated in the common part configuration information) can be performed using one common part configuration information. It is assumed that the common part configuration information is associated with a plurality of corresponding parts.

  The computer 10 (the CPU 11 thereof) can automatically calculate the thermal load and the like of a plurality of parts corresponding to the common part configuration information based on the common part configuration information generated by the aggregation process (reference numeral 6 in FIG. 1). Heat load calculation process). As described above, the heat load calculation process 6 is specifically air conditioning heat load calculation, skin performance calculation, or primary energy consumption calculation. FIG. 7 is a flowchart for explaining the thermal load processing calculation for the parts A and B in FIG. 2 as an example of the thermal load calculation process for a plurality of parts based on the common part configuration information. In step S30, the heat transmissivity α is obtained based on the material name (material), the stacking order, and the thickness indicated by the common part configuration information 24 for the parts A and B. In step S31, the heat load β is calculated by multiplying the heat transmissivity α by the area of the part A, and in step S32, the heat load γ is calculated by multiplying the heat transmissibility α by the area of the part B. Since the calculation for obtaining the heat transmissibility in step S3 is performed using the common site configuration information for a plurality of sites, as a result, multiple times of the heat transmissibility using different site configuration information for the plurality of sites. Compared with performing the calculation, the heat load calculation work can be simplified. The calculation method for calculating the heat transmissibility (step S30) and the calculation for calculating the heat load (steps S31 and S31) include heat such as air conditioning heat load calculation, skin performance calculation, and primary energy consumption calculation. A well-known technique can be applied as load calculation. In this way, in the calculation processing such as heat load such as air conditioning heat load calculation, hull performance calculation or primary energy consumption calculation, the part configuration information is appropriately grouped (aggregated) for a plurality of parts having the same or similar laminated structure of materials. By performing the thermal load calculation process 6 using the common site configuration information, the number of site configuration information used for the thermal load calculation etc. can be reduced, and the thermal load calculation by the computer using 3D CAD data can be reduced. It is possible to simplify the work and reduce the labor for checking and confirming the heat load calculation result. In the thermal load calculation process 6, for each part that is not aggregated into one common part configuration information, the thermal flow rate is obtained using the part configuration information (step S30), and the thermal flow rate is calculated. Is multiplied by the area of the part to determine the thermal load (step S31).

  In addition, in step S11 of FIG. 5, for example, for site configuration information of different site types such as walls, ceilings, floors, etc., even if the configuration content, that is, the case where the material name and order match, is not grouped, It is good to comprise so that it may handle as separate site | part structure information.

  Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and various modifications can be made within the scope of the technical idea described in the claims and the specification and drawings. Is possible. For example, the aggregation condition registered by the pre-processing is not limited to the above example. As another example of the aggregation condition registered by the pre-processing, a list of material names that are regarded as the same material even with different material names can be considered. Further, the part configuration information is not limited to that acquired from the three-dimensional design data. For each of a plurality of parts constituting a building subject to heat load calculation, etc., as long as it is possible to obtain part configuration information that specifies at least the material and the order of lamination of one or more materials constituting the part, the part The configuration information may be acquired from any source.

2 acquisition processing, 4 aggregation processing, 6 calculation processing, 10 computer, 11 CPU (processor), 12 internal memory, 13 hard disk, 14 CD / DVD driver, 15 display, 16 input device, 20, 22, 24

Claims (4)

A program executed by a computer to calculate a thermal load for each of a plurality of parts constituting a building,
Obtaining, from the three-dimensional design data of the building, site configuration information for specifying at least the material and stacking order of one or more materials constituting the site for each of a plurality of sites constituting the building; ,
Based on the acquired part configuration information, generating common part configuration information for a plurality of parts that are common in at least the material and the stacking order; and
A program that executes a step of calculating a thermal load for a plurality of parts that are common in at least the material and the stacking order based on the common part configuration information.   The program according to claim 1, wherein in the step of generating the common part configuration information, a material corresponding to a predetermined excluded material is further excluded from the part configuration information. The site configuration information further includes information for specifying the thickness of each material,
The step of generating the common part configuration information further includes a case where a difference in thickness of each material included in the plurality of parts common to at least the material and the stacking order is within a predetermined thickness margin range. The program according to claim 1 or 2, wherein the common part configuration information is generated. A heat load calculation device for calculating heat load for each of a plurality of parts constituting a building,
Acquisition means for acquiring, from the three-dimensional design data of the building, part configuration information that specifies at least the material and the stacking order of one or more materials constituting the part of each of a plurality of parts constituting the building. When,
Based on the acquired part configuration information, generating means for generating common part configuration information for a plurality of parts common to at least the material and the stacking order;
A thermal load calculation device comprising: a calculation means for calculating a thermal load for a plurality of parts having at least the same material and stacking order based on the common part configuration information.

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